Last Updated: Fri, 12/19/2025 Syllabus PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission. General Class Information Academic year: 2026 Semester: Spring Course prefix: MGT Course number: 6500 Section: EMA, EMO CRN 24559 34165 Instructor first name: Ravi Instructor last name: Subramanian Class Details Course description: To introduce participants to a problem-driven approach to assembling, analyzing, and taking action on data. With the Problem-Plan-Data-Analysis-Conclusions (PPDAC) Cycle and Gartner’s Analytics Maturity Model (Descriptive → Diagnostic → Predictive → Prescriptive Analytics) as frameworks, fundamental concepts for the analysis of data will be covered, including descriptive statistics, visualizations, probability and distributions, confidence intervals, hypothesis testing, and regression analysis/predictive analytics. Knowledge of the “whys” behind these tools facilitates rigorous data-driven decision-making. Academic honesty/integrity statement: Students are expected to act and must also expect their peers to act according to the highest ethical standards, as outlined in the honor code at http://www.policylibrary.gatech.edu/student-affairs/academic-honor-code. You are not allowed to seek or receive previous class material (including class notes, readings, quizzes, exams, class recordings, etc.).While collaboration is allowed for the Quizzes (submissions are individual), simply pasting questions into LLMs or copying/giving away answers is not allowed.Note that collaboration is not allowed for the Personal Reflection and the Final Exam. Sharing/posting or offering to share/post any course material or recordings (except sharing your class notes with your classmates) – whether during or after the end of the course – will violate the honor code and is not allowed.
